The 'mlrMBO' package can ordinarily not be used for optimization within 'mlr3', because of incompatibilities of their respective class systems. 'mlrintermbo' offers a compatibility interface that provides 'mlrMBO' as an 'mlr3tuning' 'Tuner' object, for tuning of machine learning algorithms within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization of general objective functions using the 'bbotk' black box optimization framework. The control parameters of 'mlrMBO' are faithfully reproduced as a 'paradox' 'ParamSet'.
Version: | 0.5.0 |
Imports: | backports, checkmate, data.table, mlr3misc (≥ 0.1.4), paradox, R6, lhs, callr, bbotk, mlr3tuning |
Suggests: | mlr, ParamHelpers, testthat, rgenoud, DiceKriging, emoa, cmaesr, randomForest, smoof, lgr, mlr3, mlr3learners, mlr3pipelines, mlrMBO, ranger, rpart |
Published: | 2021-03-01 |
Author: | Martin Binder [aut, cre] |
Maintainer: | Martin Binder <developer.mb706 at doublecaret.com> |
BugReports: | https://github.com/mb706/mlrintermbo/issues |
License: | LGPL-3 |
URL: | https://github.com/mb706/mlrintermbo |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mlrintermbo results |
Reference manual: | mlrintermbo.pdf |
Package source: | mlrintermbo_0.5.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: mlrintermbo_0.5.0.zip, r-oldrel: not available |
macOS binaries: | r-release: not available, r-oldrel: not available |
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